This lab is part of a lab series, where you go from exploring a taxicab dataset to training and deploying a high-accuracy distributed model with Cloud ML Engine.

What you need

You must have completed Lab 0 and have the following:

• working Qwiklabs account
• launched Datalab and cloned the training-data-analyst repo

What you learn

In this lab, you will learn how to:

• Read from a potentially large file in batches
• Do a wildcard match on filenames
• Break the one-to-one relationship between inputs and features

Step 1

In Cloud Datalab, click on the Home icon, and then navigate to datalab/notebooks/training-data-analyst/courses/machine_learning/deepdive/03_tensorflow/labs and open c_dataset.ipynb.

Step 2

In Datalab, click on Clear | All Cells. Now read the narrative and execute each cell in turn.

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